基于复振幅调控超表面衍射器件的光纤传输图像恢复方法及装置

By deploying complex amplitude modulated metasurface diffraction devices at the far end of multimode optical fibers and designing metasurface arrays using diffraction neural networks or analytical methods, complex amplitude modulation of circularly polarized light is achieved. This solves the problems of mode dispersion and crosstalk in multimode optical fiber transmission, enabling efficient and miniaturized image restoration, suitable for applications such as high-speed communication and endoscopy.

CN120447131BActive Publication Date: 2026-07-17ZHEJIANG UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHEJIANG UNIV
Filing Date
2025-03-25
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Multimode fiber suffers from mode dispersion and crosstalk during transmission, which reduces image clarity and accuracy and results in a larger system size, limiting its application in fields such as chip-level mode multiplexing and on-chip quantum optics.

Method used

An optical fiber transmission image restoration method based on complex amplitude modulated metasurface diffraction devices is adopted. The metasurface array is designed by training a diffraction neural network or by analytical method to modulate the outgoing circularly polarized light with complex amplitude, thereby realizing high-resolution or low-resolution image restoration.

Benefits of technology

It improves the accuracy and stability of image restoration, realizes the miniaturization of multimode fiber imaging systems, and is suitable for high-speed communication and endoscopy scenarios, thereby enhancing the quality of image restoration.

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Abstract

本发明公开了一种基于复振幅调控超表面衍射器件的光纤传输图像恢复方法和装置,方法包括:利用衍射神经网络训练得到各衍射层的复振幅分布并设计相应的超表面阵列,制备得到具有复振幅调控功能的级联超表面衍射器件,将级联超表面衍射器件部署到多模光纤远端并对出射的圆偏振光进行复振幅调制以实现高分辨率或高采样率图像恢复;或利用解析法解算出光纤传输逆矩阵并设计相应的超表面阵列,制备得到具有复振幅调控功能的单层超表面衍射器件,将单层超表面衍射器件部署到少模光纤远端并对出射的圆偏振光进行复振幅调制以实现低分辨率或低采样率图像恢复。本发明能实现多模光纤成像系统小型化,基于超表面衍射器件的复振幅调制有效提升图像恢复质量。
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